Injury Severity Analysis of Older Driver At-Fault Crashes at Unsignalized Intersections: Alabama Case Study

The research described in this paper explored the factors contributing to the injury severity resulting from the male and female older driver (65 years and older) at-fault accidents at unsignalized intersections in Alabama. Given the occurrence of an older driver at-fault crash at an unsignalized intersection, random parameter logit models of injury severity were estimated. The estimated models identified a variety of statistically significant factors influencing the injury severities resulting from older driver at-fault crashes. According to these models, some variables were found to be significant only in one model (male or female) but not in the other one. For example, variables such as driver under the influence of alcohol/drugs, horizontal curve, and stop sign were found significant only in the male model. On the other hand, variables such as intersection approaches on tangents with flat grade, and driver older than 75 years were found significant only in the female model. In addition, variables such as making turning maneuver, freeway-ramp junction, high speed approach, etc. were found significant in both models. Estimation findings showed that two parameters in the male model and another two parameters in the female model could be modeled as random parameters indicating their varying influences on the injury severity due to unobserved effects. Based on the results obtained, this study identified several problem areas that are amenable to engineering or education countermeasures.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANB60 Standing Committee on Safe Mobility of Older Persons.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Islam, Samantha
    • Hossain, Akhter B
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: References; Tables;
  • Pagination: 5p

Subject/Index Terms

Filing Info

  • Accession Number: 01697492
  • Record Type: Publication
  • Report/Paper Numbers: 19-05135
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:29AM